Overview

Dataset statistics

Number of variables28
Number of observations1085
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory305.3 KiB
Average record size in memory288.1 B

Variable types

NUM26
CAT1
BOOL1

Warnings

Prix_equipement is highly correlated with Prix_verresHigh correlation
Prix_verres is highly correlated with Prix_equipementHigh correlation
Pourcent_remise_total is highly correlated with Pourcent_remise_verreHigh correlation
Pourcent_remise_verre is highly correlated with Pourcent_remise_totalHigh correlation
cor_sphere_VG is highly correlated with cor_sphere_VDHigh correlation
cor_sphere_VD is highly correlated with cor_sphere_VGHigh correlation
cor_addition_VG is highly correlated with cor_addition_VDHigh correlation
cor_addition_VD is highly correlated with cor_addition_VGHigh correlation
ref_PS has unique values Unique
dep_identique has 15 (1.4%) zeros Zeros
dep_limit has 386 (35.6%) zeros Zeros
dep_non_limit has 497 (45.8%) zeros Zeros
PEC_CRE has 250 (23.0%) zeros Zeros
PEC_ANN has 228 (21.0%) zeros Zeros
PEC_ACC has 425 (39.2%) zeros Zeros
PEC_FAC has 11 (1.0%) zeros Zeros
PEC_REF has 324 (29.9%) zeros Zeros
taux_non_ventes has 71 (6.5%) zeros Zeros
Pourcent_remise_verre has 458 (42.2%) zeros Zeros
Pourcent_remise_monture has 360 (33.2%) zeros Zeros
Pourcent_remise_total has 327 (30.1%) zeros Zeros
cor_sphere_VD has 122 (11.2%) zeros Zeros
cor_cylindre_VD has 214 (19.7%) zeros Zeros
cor_addition_VD has 168 (15.5%) zeros Zeros
cor_sphere_VG has 109 (10.0%) zeros Zeros
cor_cylindre_VG has 212 (19.5%) zeros Zeros
cor_addition_VG has 167 (15.4%) zeros Zeros
facteur_correction has 61 (5.6%) zeros Zeros

Reproduction

Analysis started2021-09-17 10:34:55.032212
Analysis finished2021-09-17 10:37:05.429974
Duration2 minutes and 10.4 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

ref_PS
Categorical

UNIQUE

Distinct1085
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
7ca24f30b4e83cb
 
1
a74fd5d7cab691f
 
1
485f41d76988045
 
1
fb61fb323376b4e
 
1
07ee2525a188df0
 
1
Other values (1080)
1080 
ValueCountFrequency (%) 
7ca24f30b4e83cb10.1%
 
a74fd5d7cab691f10.1%
 
485f41d7698804510.1%
 
fb61fb323376b4e10.1%
 
07ee2525a188df010.1%
 
0a74148417c6ecb10.1%
 
e059a93961cfee510.1%
 
a42cf77fae90eaa10.1%
 
6f24060e3a9151210.1%
 
97ac1910bfb037910.1%
 
a5d3dddd1cc8b2b10.1%
 
bf6811cefe793bb10.1%
 
c4a3a7c4712091210.1%
 
29221f1b3cc1a9410.1%
 
d515ef2849d52cf10.1%
 
b529516accd230110.1%
 
e1d115fc2be332c10.1%
 
cd20c04270da83010.1%
 
63ab98f35b08a3710.1%
 
4016f05c1943b6a10.1%
 
ad1f27d072de52410.1%
 
0da4f09bac6f39810.1%
 
2046f5d08802b3310.1%
 
a69c04ab8c9619410.1%
 
033f3d099660dc910.1%
 
Other values (1060)106097.7%
 
2021-09-17T16:07:05.564980image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1085 ?
Unique (%)100.0%
2021-09-17T16:07:05.729975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length15
Median length15
Mean length15
Min length15

Overview of Unicode Properties

Unique unicode characters16
Unique unicode categories2 ?
Unique unicode scripts2 ?
Unique unicode blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Most occurring characters

ValueCountFrequency (%) 
210776.6%
 
410486.4%
 
810426.4%
 
610396.4%
 
310366.4%
 
c10316.3%
 
f10296.3%
 
010226.3%
 
510216.3%
 
d10206.3%
 
110116.2%
 
a9896.1%
 
99886.1%
 
e9816.0%
 
79756.0%
 
b9665.9%
 

Most occurring categories

ValueCountFrequency (%) 
Decimal Number1025963.0%
 
Lowercase Letter601637.0%
 

Most frequent Lowercase Letter characters

ValueCountFrequency (%) 
c103117.1%
 
f102917.1%
 
d102017.0%
 
a98916.4%
 
e98116.3%
 
b96616.1%
 

Most frequent Decimal Number characters

ValueCountFrequency (%) 
2107710.5%
 
4104810.2%
 
8104210.2%
 
6103910.1%
 
3103610.1%
 
0102210.0%
 
5102110.0%
 
110119.9%
 
99889.6%
 
79759.5%
 

Most occurring scripts

ValueCountFrequency (%) 
Common1025963.0%
 
Latin601637.0%
 

Most frequent Latin characters

ValueCountFrequency (%) 
c103117.1%
 
f102917.1%
 
d102017.0%
 
a98916.4%
 
e98116.3%
 
b96616.1%
 

Most frequent Common characters

ValueCountFrequency (%) 
2107710.5%
 
4104810.2%
 
8104210.2%
 
6103910.1%
 
3103610.1%
 
0102210.0%
 
5102110.0%
 
110119.9%
 
99889.6%
 
79759.5%
 

Most occurring blocks

ValueCountFrequency (%) 
ASCII16275100.0%
 

Most frequent ASCII characters

ValueCountFrequency (%) 
210776.6%
 
410486.4%
 
810426.4%
 
610396.4%
 
310366.4%
 
c10316.3%
 
f10296.3%
 
010226.3%
 
510216.3%
 
d10206.3%
 
110116.2%
 
a9896.1%
 
99886.1%
 
e9816.0%
 
79756.0%
 
b9665.9%
 

nb_lignes_PEC
Real number (ℝ≥0)

Distinct213
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.12165899
Minimum1
Maximum773
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:05.883975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q117
median40
Q383
95-th percentile193.6
Maximum773
Range772
Interquartile range (IQR)66

Descriptive statistics

Standard deviation73.53339692
Coefficient of variation (CV)1.183699826
Kurtosis20.85344991
Mean62.12165899
Median Absolute Deviation (MAD)28
Skewness3.584124758
Sum67402
Variance5407.160462
MonotocityNot monotonic
2021-09-17T16:07:06.045975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17222.0%
 
10222.0%
 
3211.9%
 
23211.9%
 
11201.8%
 
16191.8%
 
8191.8%
 
14181.7%
 
1171.6%
 
18171.6%
 
22171.6%
 
7171.6%
 
12161.5%
 
19161.5%
 
9151.4%
 
5151.4%
 
37141.3%
 
33141.3%
 
4131.2%
 
26131.2%
 
24131.2%
 
43131.2%
 
45131.2%
 
2131.2%
 
6131.2%
 
Other values (188)67462.1%
 
ValueCountFrequency (%) 
1171.6%
 
2131.2%
 
3211.9%
 
4131.2%
 
5151.4%
 
6131.2%
 
7171.6%
 
8191.8%
 
9151.4%
 
10222.0%
 
ValueCountFrequency (%) 
77310.1%
 
64710.1%
 
60110.1%
 
58210.1%
 
54410.1%
 
50010.1%
 
46310.1%
 
40510.1%
 
36210.1%
 
35110.1%
 

dep_identique
Real number (ℝ≥0)

ZEROS

Distinct521
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.1536129
Minimum0
Maximum100
Zeros15
Zeros (%)1.4%
Memory size8.6 KiB
2021-09-17T16:07:06.229978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile31.85
Q170.9
median87.5
Q398.21
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)27.31

Descriptive statistics

Standard deviation22.49969801
Coefficient of variation (CV)0.280707222
Kurtosis2.034533361
Mean80.1536129
Median Absolute Deviation (MAD)12.5
Skewness-1.513124917
Sum86966.67
Variance506.2364107
MonotocityNot monotonic
2021-09-17T16:07:06.401980image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10024522.6%
 
0151.4%
 
50151.4%
 
87.5141.3%
 
85.71111.0%
 
80111.0%
 
75111.0%
 
71.43100.9%
 
66.6790.8%
 
9080.7%
 
83.3370.6%
 
88.8970.6%
 
33.3360.6%
 
90.9160.6%
 
72.7360.6%
 
2560.6%
 
91.6760.6%
 
77.7860.6%
 
6060.6%
 
91.350.5%
 
82.3550.5%
 
86.6750.5%
 
81.8250.5%
 
92.3150.5%
 
95.6550.5%
 
Other values (496)65059.9%
 
ValueCountFrequency (%) 
0151.4%
 
6.9810.1%
 
9.0910.1%
 
9.2110.1%
 
1010.1%
 
10.7110.1%
 
11.5410.1%
 
12.1210.1%
 
12.510.1%
 
13.5110.1%
 
ValueCountFrequency (%) 
10024522.6%
 
99.5110.1%
 
99.4510.1%
 
99.4310.1%
 
99.3210.1%
 
99.3110.1%
 
99.2910.1%
 
99.2610.1%
 
99.1410.1%
 
99.0910.1%
 

dep_limit
Real number (ℝ≥0)

ZEROS

Distinct456
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.77008295
Minimum0
Maximum100
Zeros386
Zeros (%)35.6%
Memory size8.6 KiB
2021-09-17T16:07:06.577981image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6.25
Q321.74
95-th percentile61.164
Maximum100
Range100
Interquartile range (IQR)21.74

Descriptive statistics

Standard deviation20.54517296
Coefficient of variation (CV)1.390999159
Kurtosis3.594866265
Mean14.77008295
Median Absolute Deviation (MAD)6.25
Skewness1.902916641
Sum16025.54
Variance422.1041318
MonotocityNot monotonic
2021-09-17T16:07:06.756976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
038635.6%
 
25131.2%
 
11.11121.1%
 
9.09111.0%
 
100100.9%
 
16.6790.8%
 
5090.8%
 
14.2990.8%
 
12.580.7%
 
2070.6%
 
8.3370.6%
 
7.1470.6%
 
5.8860.6%
 
7560.6%
 
22.2250.5%
 
28.5750.5%
 
11.7650.5%
 
33.3350.5%
 
3.0340.4%
 
30.7740.4%
 
18.1840.4%
 
3040.4%
 
66.6740.4%
 
440.4%
 
27.2740.4%
 
Other values (431)53749.5%
 
ValueCountFrequency (%) 
038635.6%
 
0.2210.1%
 
0.2810.1%
 
0.4510.1%
 
0.4710.1%
 
0.4910.1%
 
0.6310.1%
 
0.6810.1%
 
0.7120.2%
 
0.7810.1%
 
ValueCountFrequency (%) 
100100.9%
 
93.0210.1%
 
87.510.1%
 
86.3610.1%
 
85.7110.1%
 
8510.1%
 
84.8510.1%
 
83.7810.1%
 
82.1410.1%
 
81.8210.1%
 

dep_non_limit
Real number (ℝ≥0)

ZEROS

Distinct333
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.076175115
Minimum0
Maximum100
Zeros497
Zeros (%)45.8%
Memory size8.6 KiB
2021-09-17T16:07:06.934975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.49
Q36.67
95-th percentile19.928
Maximum100
Range100
Interquartile range (IQR)6.67

Descriptive statistics

Standard deviation10.04348051
Coefficient of variation (CV)1.978552805
Kurtosis37.12354583
Mean5.076175115
Median Absolute Deviation (MAD)1.49
Skewness5.109179695
Sum5507.65
Variance100.8715008
MonotocityNot monotonic
2021-09-17T16:07:07.102979image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
049745.8%
 
12.5131.2%
 
7.6990.8%
 
1080.7%
 
7.1480.7%
 
8.770.6%
 
3.4570.6%
 
3.1270.6%
 
2560.6%
 
4.3560.6%
 
6.2560.6%
 
5.8860.6%
 
11.7660.6%
 
6.6760.6%
 
16.6760.6%
 
5.5650.5%
 
8.3350.5%
 
550.5%
 
11.1150.5%
 
2.2250.5%
 
4.1750.5%
 
2.6350.5%
 
2.8650.5%
 
5050.5%
 
2.550.5%
 
Other values (308)43740.3%
 
ValueCountFrequency (%) 
049745.8%
 
0.2810.1%
 
0.5510.1%
 
0.5710.1%
 
0.6510.1%
 
0.6810.1%
 
0.6920.2%
 
0.7120.2%
 
0.7410.1%
 
0.7710.1%
 
ValueCountFrequency (%) 
10040.4%
 
76.9710.1%
 
7510.1%
 
66.6720.2%
 
5050.5%
 
47.8610.1%
 
4010.1%
 
39.3910.1%
 
37.510.1%
 
35.2910.1%
 

PEC_CRE
Real number (ℝ≥0)

ZEROS

Distinct454
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.62269124
Minimum0
Maximum72.73
Zeros250
Zeros (%)23.0%
Memory size8.6 KiB
2021-09-17T16:07:07.274983image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.52
median7.69
Q316.53
95-th percentile33.254
Maximum72.73
Range72.73
Interquartile range (IQR)15.01

Descriptive statistics

Standard deviation11.19940368
Coefficient of variation (CV)1.054290614
Kurtosis3.191244804
Mean10.62269124
Median Absolute Deviation (MAD)7.43
Skewness1.53615325
Sum11525.62
Variance125.4266428
MonotocityNot monotonic
2021-09-17T16:07:07.437977image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
025023.0%
 
12.5171.6%
 
25151.4%
 
7.69121.1%
 
9.09121.1%
 
7.14111.0%
 
33.33111.0%
 
16.67111.0%
 
6.25100.9%
 
20100.9%
 
4.35100.9%
 
11.11100.9%
 
5.88100.9%
 
22.2290.8%
 
5.5690.8%
 
8.3390.8%
 
1090.8%
 
14.2990.8%
 
11.7680.7%
 
18.1880.7%
 
4.5570.6%
 
28.5770.6%
 
18.7570.6%
 
4.1760.6%
 
10.5360.6%
 
Other values (429)60255.5%
 
ValueCountFrequency (%) 
025023.0%
 
0.2810.1%
 
0.810.1%
 
0.8710.1%
 
0.9220.2%
 
0.9610.1%
 
1.0210.1%
 
1.0920.2%
 
1.1510.1%
 
1.210.1%
 
ValueCountFrequency (%) 
72.7310.1%
 
66.6730.3%
 
62.510.1%
 
5510.1%
 
5030.3%
 
48.0810.1%
 
46.9410.1%
 
45.9910.1%
 
44.9310.1%
 
44.4410.1%
 

PEC_ANN
Real number (ℝ≥0)

ZEROS

Distinct435
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.665668203
Minimum0
Maximum100
Zeros228
Zeros (%)21.0%
Memory size8.6 KiB
2021-09-17T16:07:07.614975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.6
median8.11
Q313.64
95-th percentile25.28
Maximum100
Range100
Interquartile range (IQR)11.04

Descriptive statistics

Standard deviation9.742822992
Coefficient of variation (CV)1.007982354
Kurtosis17.10586518
Mean9.665668203
Median Absolute Deviation (MAD)5.53
Skewness2.788514379
Sum10487.25
Variance94.92259985
MonotocityNot monotonic
2021-09-17T16:07:07.777979image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
022821.0%
 
20242.2%
 
12.5171.6%
 
9.09151.4%
 
14.29131.2%
 
7.14131.2%
 
10.53121.1%
 
16.67121.1%
 
11.11111.0%
 
10111.0%
 
4.35100.9%
 
5.88100.9%
 
7.41100.9%
 
6.67100.9%
 
33.3390.8%
 
4.5590.8%
 
5.5690.8%
 
2590.8%
 
6.2580.7%
 
8.3380.7%
 
580.7%
 
13.3380.7%
 
18.1870.6%
 
13.0460.6%
 
23.5350.5%
 
Other values (410)60355.6%
 
ValueCountFrequency (%) 
022821.0%
 
1.0610.1%
 
1.110.1%
 
1.1910.1%
 
1.3910.1%
 
1.4110.1%
 
1.4210.1%
 
1.4510.1%
 
1.5210.1%
 
1.6520.2%
 
ValueCountFrequency (%) 
10020.2%
 
66.6730.3%
 
57.8910.1%
 
5030.3%
 
47.0610.1%
 
40.8210.1%
 
4010.1%
 
38.4610.1%
 
35.2910.1%
 
35.1910.1%
 

PEC_ACC
Real number (ℝ≥0)

ZEROS

Distinct325
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.446525346
Minimum0
Maximum100
Zeros425
Zeros (%)39.2%
Memory size8.6 KiB
2021-09-17T16:07:07.945973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.87
Q34.96
95-th percentile17.478
Maximum100
Range100
Interquartile range (IQR)4.96

Descriptive statistics

Standard deviation9.040792976
Coefficient of variation (CV)2.033226457
Kurtosis43.51033179
Mean4.446525346
Median Absolute Deviation (MAD)1.87
Skewness5.554492786
Sum4824.48
Variance81.73593764
MonotocityNot monotonic
2021-09-17T16:07:08.114978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
042539.2%
 
7.14111.0%
 
6.25100.9%
 
3.5790.8%
 
2.1780.7%
 
5.5680.7%
 
12.580.7%
 
11.1170.6%
 
2.9470.6%
 
2070.6%
 
2.6370.6%
 
4.1770.6%
 
2.4470.6%
 
33.3370.6%
 
470.6%
 
4.5560.6%
 
2.3360.6%
 
1060.6%
 
4.3560.6%
 
5060.6%
 
9.0960.6%
 
3.750.5%
 
3.1250.5%
 
2.0450.5%
 
5.8850.5%
 
Other values (300)49445.5%
 
ValueCountFrequency (%) 
042539.2%
 
0.4210.1%
 
0.4510.1%
 
0.5410.1%
 
0.5510.1%
 
0.6310.1%
 
0.6410.1%
 
0.6710.1%
 
0.6810.1%
 
0.7110.1%
 
ValueCountFrequency (%) 
10030.3%
 
7010.1%
 
63.6410.1%
 
62.510.1%
 
5060.6%
 
45.4510.1%
 
42.8610.1%
 
37.510.1%
 
36.3610.1%
 
35.2910.1%
 

PEC_FAC
Real number (ℝ≥0)

ZEROS

Distinct539
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.7135023
Minimum0
Maximum100
Zeros11
Zeros (%)1.0%
Memory size8.6 KiB
2021-09-17T16:07:08.286974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.894
Q154.9
median66.67
Q377.78
95-th percentile95
Maximum100
Range100
Interquartile range (IQR)22.88

Descriptive statistics

Standard deviation18.23255664
Coefficient of variation (CV)0.2774552566
Kurtosis0.8863791762
Mean65.7135023
Median Absolute Deviation (MAD)11.11
Skewness-0.5549260717
Sum71299.15
Variance332.4261217
MonotocityNot monotonic
2021-09-17T16:07:08.456975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
100504.6%
 
66.67373.4%
 
75302.8%
 
50272.5%
 
71.43201.8%
 
80171.6%
 
60171.6%
 
72.73161.5%
 
77.78141.3%
 
83.33121.1%
 
0111.0%
 
63.6480.7%
 
69.5780.7%
 
85.7180.7%
 
33.3370.6%
 
57.1470.6%
 
58.3370.6%
 
64.7170.6%
 
58.8260.6%
 
76.4760.6%
 
81.8260.6%
 
61.1160.6%
 
81.2560.6%
 
55.5650.5%
 
64.2950.5%
 
Other values (514)74268.4%
 
ValueCountFrequency (%) 
0111.0%
 
1010.1%
 
11.7610.1%
 
12.510.1%
 
1510.1%
 
18.1810.1%
 
19.4210.1%
 
22.2220.2%
 
2510.1%
 
26.0910.1%
 
ValueCountFrequency (%) 
100504.6%
 
96.5510.1%
 
95.6510.1%
 
95.4520.2%
 
9520.2%
 
94.7410.1%
 
94.4410.1%
 
94.1210.1%
 
93.9410.1%
 
93.7520.2%
 

PEC_REF
Real number (ℝ≥0)

ZEROS

Distinct445
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.551603687
Minimum0
Maximum75.73
Zeros324
Zeros (%)29.9%
Memory size8.6 KiB
2021-09-17T16:07:08.628976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5.56
Q313.16
95-th percentile36.824
Maximum75.73
Range75.73
Interquartile range (IQR)13.16

Descriptive statistics

Standard deviation12.26503081
Coefficient of variation (CV)1.28408079
Kurtosis4.339352984
Mean9.551603687
Median Absolute Deviation (MAD)5.56
Skewness1.985799051
Sum10363.49
Variance150.4309808
MonotocityNot monotonic
2021-09-17T16:07:08.790973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
032429.9%
 
10111.0%
 
6.25111.0%
 
11.11100.9%
 
2090.8%
 
14.2990.8%
 
9.0990.8%
 
5.5690.8%
 
11.7680.7%
 
33.3380.7%
 
12.580.7%
 
7.1480.7%
 
5.2680.7%
 
8.770.6%
 
18.1870.6%
 
4.3570.6%
 
3.5760.6%
 
2.0460.6%
 
8.3360.6%
 
6.960.6%
 
6.0660.6%
 
5.8860.6%
 
2.2260.6%
 
4.7650.5%
 
2.7850.5%
 
Other values (420)58053.5%
 
ValueCountFrequency (%) 
032429.9%
 
0.5510.1%
 
0.9510.1%
 
1.0910.1%
 
1.1510.1%
 
1.1610.1%
 
1.1810.1%
 
1.2220.2%
 
1.2320.2%
 
1.2720.2%
 
ValueCountFrequency (%) 
75.7310.1%
 
66.6710.1%
 
6510.1%
 
60.7810.1%
 
60.3810.1%
 
59.0910.1%
 
58.3310.1%
 
57.4610.1%
 
57.4510.1%
 
57.2810.1%
 

taux_non_ventes
Real number (ℝ≥0)

ZEROS

Distinct561
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.83991705
Minimum0
Maximum100
Zeros71
Zeros (%)6.5%
Memory size8.6 KiB
2021-09-17T16:07:08.974973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.65
median28.57
Q340.62
95-th percentile58.82
Maximum100
Range100
Interquartile range (IQR)22.97

Descriptive statistics

Standard deviation17.25405264
Coefficient of variation (CV)0.5782205295
Kurtosis0.5057602834
Mean29.83991705
Median Absolute Deviation (MAD)11.43
Skewness0.4980135369
Sum32376.31
Variance297.7023324
MonotocityNot monotonic
2021-09-17T16:07:09.153973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0716.5%
 
33.33282.6%
 
50211.9%
 
25211.9%
 
16.67171.6%
 
28.57161.5%
 
40151.4%
 
27.27141.3%
 
20121.1%
 
14.29121.1%
 
11.11111.0%
 
22.22100.9%
 
18.75100.9%
 
12.5100.9%
 
66.6790.8%
 
3090.8%
 
18.1890.8%
 
36.3670.6%
 
9.0960.6%
 
13.3360.6%
 
13.0460.6%
 
35.2960.6%
 
41.6760.6%
 
57.1450.5%
 
37.550.5%
 
Other values (536)74368.5%
 
ValueCountFrequency (%) 
0716.5%
 
3.4510.1%
 
3.8510.1%
 
4.1710.1%
 
4.3520.2%
 
4.5510.1%
 
4.8810.1%
 
520.2%
 
5.2610.1%
 
5.5630.3%
 
ValueCountFrequency (%) 
10040.4%
 
9010.1%
 
88.2410.1%
 
8510.1%
 
79.6110.1%
 
75.5610.1%
 
7510.1%
 
72.7310.1%
 
71.6310.1%
 
7010.1%
 

Prix_monture
Real number (ℝ≥0)

Distinct1053
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.9974721
Minimum0
Maximum391.1875
Zeros3
Zeros (%)0.3%
Memory size8.6 KiB
2021-09-17T16:07:09.328978image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88.65922716
Q1120.8301887
median143
Q3176.2
95-th percentile243.6551282
Maximum391.1875
Range391.1875
Interquartile range (IQR)55.36981132

Descriptive statistics

Standard deviation47.60824248
Coefficient of variation (CV)0.3132173308
Kurtosis1.524498789
Mean151.9974721
Median Absolute Deviation (MAD)26.33333333
Skewness0.9027318271
Sum164917.2572
Variance2266.544752
MonotocityNot monotonic
2021-09-17T16:07:09.494975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
030.3%
 
113.530.3%
 
17430.3%
 
9320.2%
 
106.181818220.2%
 
10520.2%
 
13320.2%
 
161.642857120.2%
 
14020.2%
 
11620.2%
 
13120.2%
 
13020.2%
 
12920.2%
 
11420.2%
 
124.166666720.2%
 
148.620.2%
 
18820.2%
 
165.714285720.2%
 
111.62520.2%
 
155.520.2%
 
12520.2%
 
140.666666720.2%
 
11320.2%
 
14820.2%
 
24820.2%
 
Other values (1028)103295.1%
 
ValueCountFrequency (%) 
030.3%
 
49.510.1%
 
52.1111111110.1%
 
5610.1%
 
56.7142857110.1%
 
6010.1%
 
61.8666666710.1%
 
62.6666666710.1%
 
65.8571428610.1%
 
67.210.1%
 
ValueCountFrequency (%) 
391.187510.1%
 
34510.1%
 
32510.1%
 
30910.1%
 
30710.1%
 
305.212121210.1%
 
304.02702710.1%
 
303.586956510.1%
 
299.794871810.1%
 
298.352941210.1%
 

Prix_verres
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1067
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.8392066
Minimum86
Maximum752.35
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:09.677975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum86
5-th percentile198.32
Q1271
median320.597561
Q3368.3396226
95-th percentile484.7960173
Maximum752.35
Range666.35
Interquartile range (IQR)97.33962264

Descriptive statistics

Standard deviation86.85053218
Coefficient of variation (CV)0.2665441433
Kurtosis1.964130115
Mean325.8392066
Median Absolute Deviation (MAD)48.98383437
Skewness0.787819647
Sum353535.5391
Variance7543.014941
MonotocityNot monotonic
2021-09-17T16:07:09.825973image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
39030.3%
 
23030.3%
 
27630.3%
 
35020.2%
 
294.285714320.2%
 
27420.2%
 
22420.2%
 
264.666666720.2%
 
32620.2%
 
21420.2%
 
36620.2%
 
34920.2%
 
31120.2%
 
228.520.2%
 
324.420.2%
 
507.533333310.1%
 
409.428571410.1%
 
232.54687510.1%
 
204.666666710.1%
 
290.167259810.1%
 
166.545454510.1%
 
388.588235310.1%
 
329.163265310.1%
 
232.930693110.1%
 
324.227272710.1%
 
Other values (1042)104296.0%
 
ValueCountFrequency (%) 
8610.1%
 
9010.1%
 
9410.1%
 
9610.1%
 
10810.1%
 
11010.1%
 
12610.1%
 
127.210.1%
 
140.933333310.1%
 
141.785714310.1%
 
ValueCountFrequency (%) 
752.3510.1%
 
74210.1%
 
706.2510.1%
 
685.333333310.1%
 
67110.1%
 
64010.1%
 
628.333333310.1%
 
62210.1%
 
607.307692310.1%
 
596.17391310.1%
 

Prix_equipement
Real number (ℝ≥0)

HIGH CORRELATION

Distinct1071
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean477.8366786
Minimum150.7142857
Maximum996.625
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:10.006975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum150.7142857
5-th percentile319.2318182
Q1403.4765625
median466.4152542
Q3540.775
95-th percentile673.1045428
Maximum996.625
Range845.9107143
Interquartile range (IQR)137.2984375

Descriptive statistics

Standard deviation110.2274734
Coefficient of variation (CV)0.2306802267
Kurtosis0.9787772763
Mean477.8366786
Median Absolute Deviation (MAD)67.58474576
Skewness0.5749949863
Sum518452.7963
Variance12150.09589
MonotocityNot monotonic
2021-09-17T16:07:10.167974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
369.965517220.2%
 
45920.2%
 
449.653846220.2%
 
497.272727320.2%
 
56420.2%
 
398.2520.2%
 
465.909090920.2%
 
444.7520.2%
 
470.833333320.2%
 
41320.2%
 
298.666666720.2%
 
49220.2%
 
48420.2%
 
58620.2%
 
64510.1%
 
497.823529410.1%
 
310.911764710.1%
 
350.704347810.1%
 
410.0312510.1%
 
677.7510.1%
 
425.384615410.1%
 
682.310.1%
 
572.2510.1%
 
374.517241410.1%
 
665.03030310.1%
 
Other values (1046)104696.4%
 
ValueCountFrequency (%) 
150.714285710.1%
 
194.410.1%
 
195.777777810.1%
 
20210.1%
 
20310.1%
 
215.166666710.1%
 
21810.1%
 
223.333333310.1%
 
232.888888910.1%
 
23510.1%
 
ValueCountFrequency (%) 
996.62510.1%
 
927.210.1%
 
87710.1%
 
863.333333310.1%
 
859.153846210.1%
 
827.510.1%
 
81410.1%
 
804.863636410.1%
 
80310.1%
 
80210.1%
 

Pourcent_remise_verre
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct628
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.079179511
Minimum0
Maximum63.37285903
Zeros458
Zeros (%)42.2%
Memory size8.6 KiB
2021-09-17T16:07:10.337976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.3816371001
Q32.485931606
95-th percentile13.27389028
Maximum63.37285903
Range63.37285903
Interquartile range (IQR)2.485931606

Descriptive statistics

Standard deviation8.199481126
Coefficient of variation (CV)2.662878568
Kurtosis24.9981227
Mean3.079179511
Median Absolute Deviation (MAD)0.3816371001
Skewness4.80278763
Sum3340.909769
Variance67.23149073
MonotocityNot monotonic
2021-09-17T16:07:10.497975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
045842.2%
 
0.381637100110.1%
 
4.24853956510.1%
 
3.98963730610.1%
 
0.329063344710.1%
 
32.1297037610.1%
 
0.442417331810.1%
 
1.29533678810.1%
 
4.61346633410.1%
 
0.950482906610.1%
 
0.63411540910.1%
 
0.0303200278910.1%
 
1.23015125810.1%
 
0.172205958310.1%
 
4.35540069710.1%
 
3.33839150210.1%
 
2.83176806910.1%
 
36.1013547410.1%
 
0.0842894922610.1%
 
8.31234256910.1%
 
2.16606498210.1%
 
1.19303204110.1%
 
0.560330758410.1%
 
0.469449660610.1%
 
1.73186813210.1%
 
Other values (603)60355.6%
 
ValueCountFrequency (%) 
045842.2%
 
0.0090571506210.1%
 
0.0110195873210.1%
 
0.0287191269410.1%
 
0.0303200278910.1%
 
0.0372023809510.1%
 
0.0430338891910.1%
 
0.0445401232310.1%
 
0.0517966979610.1%
 
0.054600054610.1%
 
ValueCountFrequency (%) 
63.3728590310.1%
 
58.685839110.1%
 
57.4412430710.1%
 
56.0833060410.1%
 
56.0348670210.1%
 
55.9311710110.1%
 
55.7858129710.1%
 
54.810.1%
 
53.581275310.1%
 
52.9953917110.1%
 

Pourcent_remise_monture
Real number (ℝ≥0)

ZEROS

Distinct726
Distinct (%)66.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.995456648
Minimum0
Maximum77.67857143
Zeros360
Zeros (%)33.2%
Memory size8.6 KiB
2021-09-17T16:07:10.675979image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.474684581
Q35.373241976
95-th percentile20.18454686
Maximum77.67857143
Range77.67857143
Interquartile range (IQR)5.373241976

Descriptive statistics

Standard deviation10.11509495
Coefficient of variation (CV)2.024858919
Kurtosis16.83414514
Mean4.995456648
Median Absolute Deviation (MAD)1.474684581
Skewness3.859183093
Sum5420.070463
Variance102.3151458
MonotocityNot monotonic
2021-09-17T16:07:10.844972image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
036033.2%
 
13.833097610.1%
 
5.13777582610.1%
 
3.12838006510.1%
 
4.26997245210.1%
 
1.67818361310.1%
 
1.48413510710.1%
 
1.48526340210.1%
 
5.61334289810.1%
 
2.40498442410.1%
 
1.16550116610.1%
 
1.17600940810.1%
 
2.69360269410.1%
 
0.960401891310.1%
 
0.657071339210.1%
 
1.71191000210.1%
 
1.29842103410.1%
 
22.2142472610.1%
 
1.12977834310.1%
 
1.43852037910.1%
 
4.09130060310.1%
 
2.88831835710.1%
 
5.04862404310.1%
 
6.37144148210.1%
 
4.21709295110.1%
 
Other values (701)70164.6%
 
ValueCountFrequency (%) 
036033.2%
 
0.0107411385610.1%
 
0.0174155346610.1%
 
0.0302816190610.1%
 
0.0591482649810.1%
 
0.0797175720310.1%
 
0.0908480467710.1%
 
0.0922116612310.1%
 
0.113636363610.1%
 
0.137199875310.1%
 
ValueCountFrequency (%) 
77.6785714310.1%
 
66.4731494910.1%
 
66.3838723210.1%
 
66.1948376410.1%
 
64.2916048210.1%
 
62.2129783710.1%
 
61.6875522110.1%
 
58.8883062410.1%
 
58.7409015510.1%
 
58.3348471110.1%
 

Pourcent_remise_total
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct759
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.618447434
Minimum0
Maximum59.75943277
Zeros327
Zeros (%)30.1%
Memory size8.6 KiB
2021-09-17T16:07:11.023975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.045782013
Q33.713656151
95-th percentile13.00853332
Maximum59.75943277
Range59.75943277
Interquartile range (IQR)3.713656151

Descriptive statistics

Standard deviation8.186528464
Coefficient of variation (CV)2.262442281
Kurtosis24.37601355
Mean3.618447434
Median Absolute Deviation (MAD)1.045782013
Skewness4.683513268
Sum3926.015466
Variance67.01924829
MonotocityNot monotonic
2021-09-17T16:07:11.188975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
032730.1%
 
0.439189189210.1%
 
6.0635789410.1%
 
0.311041990710.1%
 
0.871021304110.1%
 
0.392512368510.1%
 
2.7465254810.1%
 
23.2503660310.1%
 
0.103761348910.1%
 
4.22522915810.1%
 
3.94254726710.1%
 
0.15360983110.1%
 
2.11264716710.1%
 
0.724074123710.1%
 
2.16498628310.1%
 
1.78124840510.1%
 
12.9473684210.1%
 
5.82306830910.1%
 
36.068065710.1%
 
6.10860873510.1%
 
11.4723590610.1%
 
2.07330618310.1%
 
3.39499455910.1%
 
5.70297029710.1%
 
6.04015129510.1%
 
Other values (734)73467.6%
 
ValueCountFrequency (%) 
032730.1%
 
0.0119168205910.1%
 
0.018434312410.1%
 
0.0289471507710.1%
 
0.0377798584110.1%
 
0.0410103457910.1%
 
0.0442047564310.1%
 
0.0499064254510.1%
 
0.0537663315210.1%
 
0.0618254402910.1%
 
ValueCountFrequency (%) 
59.7594327710.1%
 
59.5925770910.1%
 
58.5716518210.1%
 
57.7910003710.1%
 
56.5054618210.1%
 
55.9264554710.1%
 
55.479265310.1%
 
55.1817903510.1%
 
52.9649255610.1%
 
52.8156894110.1%
 

cor_sphere_VD
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct698
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1734228306
Minimum-6
Maximum1.666666667
Zeros122
Zeros (%)11.2%
Memory size8.6 KiB
2021-09-17T16:07:11.377974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile-0.9404411765
Q1-0.3636363636
median-0.07258064516
Q30.07092198582
95-th percentile0.4691535151
Maximum1.666666667
Range7.666666667
Interquartile range (IQR)0.4345583495

Descriptive statistics

Standard deviation0.5396567602
Coefficient of variation (CV)-3.111797671
Kurtosis22.60407321
Mean-0.1734228306
Median Absolute Deviation (MAD)0.2001466276
Skewness-2.894701843
Sum-188.1637712
Variance0.2912294189
MonotocityNot monotonic
2021-09-17T16:07:11.543972image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
012211.2%
 
-0.5181.7%
 
-0.2590.8%
 
-0.290.8%
 
0.12590.8%
 
0.280.7%
 
-0.214285714380.7%
 
0.0909090909180.7%
 
-0.333333333380.7%
 
-0.142857142980.7%
 
-0.363636363670.6%
 
0.166666666770.6%
 
-0.12560.6%
 
-0.166666666760.6%
 
0.0769230769260.6%
 
0.285714285750.5%
 
-0.266666666750.5%
 
0.550.5%
 
0.2540.4%
 
-0.1540.4%
 
-0.571428571440.4%
 
-0.235294117640.4%
 
0.140.4%
 
0.440.4%
 
-0.133333333340.4%
 
Other values (673)80374.0%
 
ValueCountFrequency (%) 
-610.1%
 
-510.1%
 
-340.4%
 
-2.87510.1%
 
-2.85714285710.1%
 
-2.70588235310.1%
 
-2.66666666710.1%
 
-2.22222222210.1%
 
-2.12510.1%
 
-220.2%
 
ValueCountFrequency (%) 
1.66666666710.1%
 
1.50980392210.1%
 
1.41666666710.1%
 
1.410.1%
 
1.220.2%
 
1.13043478310.1%
 
1.12510.1%
 
1.03846153810.1%
 
130.3%
 
0.986486486510.1%
 

cor_cylindre_VD
Real number (ℝ≥0)

ZEROS

Distinct519
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1710029266
Minimum0
Maximum2
Zeros214
Zeros (%)19.7%
Memory size8.6 KiB
2021-09-17T16:07:11.732972image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03676470588
median0.1238095238
Q30.2428571429
95-th percentile0.4870523416
Maximum2
Range2
Interquartile range (IQR)0.206092437

Descriptive statistics

Standard deviation0.2000783716
Coefficient of variation (CV)1.170028932
Kurtosis22.45826268
Mean0.1710029266
Median Absolute Deviation (MAD)0.1010822511
Skewness3.467557288
Sum185.5381753
Variance0.04003135479
MonotocityNot monotonic
2021-09-17T16:07:11.902602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
021419.7%
 
0.09090909091161.5%
 
0.2161.5%
 
0.125151.4%
 
0.3333333333131.2%
 
0.1428571429121.1%
 
0.1818181818121.1%
 
0.1111.0%
 
0.07142857143111.0%
 
0.1666666667100.9%
 
0.2590.8%
 
0.0833333333390.8%
 
0.117647058890.8%
 
0.0588235294190.8%
 
0.380.7%
 
0.111111111180.7%
 
0.0555555555670.6%
 
0.062570.6%
 
0.0416666666760.6%
 
150.5%
 
0.222222222250.5%
 
0.285714285750.5%
 
0.0434782608750.5%
 
0.130434782650.5%
 
0.428571428650.5%
 
Other values (494)65360.2%
 
ValueCountFrequency (%) 
021419.7%
 
0.00716845878110.1%
 
0.00854700854710.1%
 
0.0115606936410.1%
 
0.0123456790110.1%
 
0.0126582278510.1%
 
0.0135135135110.1%
 
0.0144927536210.1%
 
0.0151515151510.1%
 
0.0161290322610.1%
 
ValueCountFrequency (%) 
230.3%
 
1.510.1%
 
1.210.1%
 
1.07843137310.1%
 
150.5%
 
0.915789473710.1%
 
0.84236453210.1%
 
0.833333333310.1%
 
0.818181818210.1%
 
0.820.2%
 

cor_addition_VD
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct617
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3916859539
Minimum0
Maximum2.117647059
Zeros168
Zeros (%)15.5%
Memory size8.6 KiB
2021-09-17T16:07:12.098600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.125
median0.3137254902
Q30.5810810811
95-th percentile1.089628681
Maximum2.117647059
Range2.117647059
Interquartile range (IQR)0.4560810811

Descriptive statistics

Standard deviation0.3544913748
Coefficient of variation (CV)0.9050397933
Kurtosis1.761983536
Mean0.3916859539
Median Absolute Deviation (MAD)0.2211582307
Skewness1.226287067
Sum424.97926
Variance0.1256641348
MonotocityNot monotonic
2021-09-17T16:07:12.255599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016815.5%
 
0.5171.6%
 
0.3333333333131.2%
 
0.2121.1%
 
0.4100.9%
 
0.25100.9%
 
0.12590.8%
 
0.181818181890.8%
 
0.142857142980.7%
 
0.7580.7%
 
0.285714285770.6%
 
0.222222222260.6%
 
0.428571428660.6%
 
0.0909090909160.6%
 
0.666666666760.6%
 
0.160.6%
 
0.37560.6%
 
160.6%
 
0.352941176560.6%
 
0.0555555555650.5%
 
0.133333333350.5%
 
0.444444444450.5%
 
0.166666666750.5%
 
0.0833333333350.5%
 
0.391304347840.4%
 
Other values (592)73767.9%
 
ValueCountFrequency (%) 
016815.5%
 
0.00840336134510.1%
 
0.0133333333310.1%
 
0.0208333333310.1%
 
0.0217391304320.2%
 
0.0256410256410.1%
 
0.0259740259710.1%
 
0.0280373831810.1%
 
0.0322580645210.1%
 
0.0344827586210.1%
 
ValueCountFrequency (%) 
2.11764705910.1%
 
230.3%
 
1.610.1%
 
1.57142857110.1%
 
1.562510.1%
 
1.53846153810.1%
 
1.50840879710.1%
 
1.520.2%
 
1.48437510.1%
 
1.47368421110.1%
 

cor_sphere_VG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct706
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1670015927
Minimum-6
Maximum2.137254902
Zeros109
Zeros (%)10.0%
Memory size8.6 KiB
2021-09-17T16:07:12.432601image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile-0.9781385281
Q1-0.3513513514
median-0.07692307692
Q30.06666666667
95-th percentile0.5
Maximum2.137254902
Range8.137254902
Interquartile range (IQR)0.418018018

Descriptive statistics

Standard deviation0.5507435121
Coefficient of variation (CV)-3.297833891
Kurtosis25.08628958
Mean-0.1670015927
Median Absolute Deviation (MAD)0.2019230769
Skewness-3.12419804
Sum-181.196728
Variance0.3033184161
MonotocityNot monotonic
2021-09-17T16:07:12.604599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
010910.0%
 
-0.590.8%
 
-0.333333333380.7%
 
0.166666666780.7%
 
-0.280.7%
 
0.142857142970.6%
 
-0.181818181870.6%
 
-170.6%
 
-0.12570.6%
 
0.570.6%
 
-0.142857142960.6%
 
-0.166666666760.6%
 
0.105263157960.6%
 
-0.666666666760.6%
 
-0.222222222260.6%
 
0.333333333360.6%
 
0.285714285750.5%
 
-0.285714285750.5%
 
-0.272727272750.5%
 
-0.450.5%
 
-0.117647058840.4%
 
-0.2540.4%
 
-0.266666666740.4%
 
-0.294117647140.4%
 
-0.0833333333340.4%
 
Other values (681)83276.7%
 
ValueCountFrequency (%) 
-610.1%
 
-5.510.1%
 
-410.1%
 
-3.42857142910.1%
 
-3.12510.1%
 
-2.937510.1%
 
-2.810.1%
 
-2.55555555610.1%
 
-2.410.1%
 
-2.30303030310.1%
 
ValueCountFrequency (%) 
2.13725490210.1%
 
1.420.2%
 
1.33333333310.1%
 
1.16666666710.1%
 
1.07692307710.1%
 
1.03389830510.1%
 
1.01086956510.1%
 
130.3%
 
0.97297297310.1%
 
0.941176470610.1%
 

cor_cylindre_VG
Real number (ℝ≥0)

ZEROS

Distinct536
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1764990822
Minimum0
Maximum2
Zeros212
Zeros (%)19.5%
Memory size8.6 KiB
2021-09-17T16:07:12.788606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03947368421
median0.1354166667
Q30.25
95-th percentile0.5
Maximum2
Range2
Interquartile range (IQR)0.2105263158

Descriptive statistics

Standard deviation0.1950069256
Coefficient of variation (CV)1.104860848
Kurtosis18.11050322
Mean0.1764990822
Median Absolute Deviation (MAD)0.1051136364
Skewness3.026935826
Sum191.5015042
Variance0.03802770102
MonotocityNot monotonic
2021-09-17T16:07:12.957607image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
021219.5%
 
0.2151.4%
 
0.25131.2%
 
0.1666666667131.2%
 
0.1428571429121.1%
 
0.2857142857111.0%
 
0.125100.9%
 
0.07142857143100.9%
 
0.181818181890.8%
 
0.333333333390.8%
 
0.0909090909190.8%
 
0.0588235294190.8%
 
0.190.8%
 
0.111111111190.8%
 
0.062580.7%
 
0.222222222280.7%
 
0.570.6%
 
0.136363636460.6%
 
0.0769230769260.6%
 
0.304347826160.6%
 
0.0833333333350.5%
 
0.133333333350.5%
 
150.5%
 
0.450.5%
 
0.0555555555650.5%
 
Other values (511)66961.7%
 
ValueCountFrequency (%) 
021219.5%
 
0.00917431192710.1%
 
0.0115606936410.1%
 
0.0117647058810.1%
 
0.0123456790110.1%
 
0.0126582278510.1%
 
0.0140845070410.1%
 
0.0143369175610.1%
 
0.0151515151510.1%
 
0.0170940170910.1%
 
ValueCountFrequency (%) 
220.2%
 
1.410.1%
 
1.25373134310.1%
 
1.210.1%
 
1.08333333310.1%
 
1.03921568610.1%
 
150.5%
 
0.947368421110.1%
 
0.806451612910.1%
 
0.755102040810.1%
 

cor_addition_VG
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct611
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3929621743
Minimum0
Maximum2.117647059
Zeros167
Zeros (%)15.4%
Memory size8.6 KiB
2021-09-17T16:07:13.149602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.125
median0.3137254902
Q30.5813953488
95-th percentile1.090118577
Maximum2.117647059
Range2.117647059
Interquartile range (IQR)0.4563953488

Descriptive statistics

Standard deviation0.3559070676
Coefficient of variation (CV)0.9057031206
Kurtosis1.680023027
Mean0.3929621743
Median Absolute Deviation (MAD)0.2228163993
Skewness1.214657126
Sum426.3639591
Variance0.1266698407
MonotocityNot monotonic
2021-09-17T16:07:13.317600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
016715.4%
 
0.5161.5%
 
0.3333333333131.2%
 
0.2121.1%
 
0.142857142990.8%
 
190.8%
 
0.7590.8%
 
0.490.8%
 
0.12590.8%
 
0.181818181880.7%
 
0.37580.7%
 
0.2580.7%
 
0.428571428680.7%
 
0.666666666770.6%
 
0.670.6%
 
0.285714285770.6%
 
0.0909090909160.6%
 
0.391304347860.6%
 
0.352941176560.6%
 
0.222222222260.6%
 
0.272727272760.6%
 
0.166666666750.5%
 
0.0555555555650.5%
 
0.133333333350.5%
 
0.0833333333350.5%
 
Other values (586)72967.2%
 
ValueCountFrequency (%) 
016715.4%
 
0.00840336134510.1%
 
0.0133333333310.1%
 
0.0208333333310.1%
 
0.0217391304320.2%
 
0.0256410256410.1%
 
0.0259740259710.1%
 
0.0322580645210.1%
 
0.0344827586210.1%
 
0.0349264705910.1%
 
ValueCountFrequency (%) 
2.11764705910.1%
 
230.3%
 
1.57142857110.1%
 
1.562510.1%
 
1.55555555610.1%
 
1.5122897810.1%
 
1.520.2%
 
1.48076923110.1%
 
1.47368421110.1%
 
1.45390070910.1%
 

facteur_correction
Real number (ℝ≥0)

ZEROS

Distinct833
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.548894767
Minimum0
Maximum17
Zeros61
Zeros (%)5.6%
Memory size8.6 KiB
2021-09-17T16:07:13.488600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.176923077
median2.289256198
Q33.7
95-th percentile5.617568991
Maximum17
Range17
Interquartile range (IQR)2.523076923

Descriptive statistics

Standard deviation1.804974178
Coefficient of variation (CV)0.7081399364
Kurtosis6.117282596
Mean2.548894767
Median Absolute Deviation (MAD)1.210743802
Skewness1.3465228
Sum2765.550823
Variance3.257931784
MonotocityNot monotonic
2021-09-17T16:07:14.518600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0615.6%
 
1181.7%
 
390.8%
 
290.8%
 
470.6%
 
1.33333333360.6%
 
2.560.6%
 
2.850.5%
 
1.550.5%
 
1.28571428650.5%
 
3.540.4%
 
4.540.4%
 
0.714285714340.4%
 
4.66666666740.4%
 
2.35294117640.4%
 
0.769230769240.4%
 
1.71428571440.4%
 
2.7540.4%
 
1.66666666740.4%
 
540.4%
 
2.630.3%
 
0.444444444430.3%
 
1.84615384630.3%
 
0.909090909130.3%
 
1.16666666730.3%
 
Other values (808)89982.9%
 
ValueCountFrequency (%) 
0615.6%
 
0.0512820512810.1%
 
0.062520.2%
 
0.0666666666710.1%
 
0.0769230769210.1%
 
0.104046242810.1%
 
0.111111111110.1%
 
0.129032258110.1%
 
0.130434782610.1%
 
0.1510.1%
 
ValueCountFrequency (%) 
1710.1%
 
1610.1%
 
10.3529411810.1%
 
9.510.1%
 
8.410.1%
 
7.71428571410.1%
 
7.66666666710.1%
 
7.2510.1%
 
7.23529411810.1%
 
7.13583441110.1%
 

age_moyen
Real number (ℝ≥0)

Distinct1017
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.23845103
Minimum3
Maximum82.75
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:14.702602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile30.12255226
Q138.5
median44.11111111
Q349.73232323
95-th percentile59.26666667
Maximum82.75
Range79.75
Interquartile range (IQR)11.23232323

Descriptive statistics

Standard deviation9.14194326
Coefficient of variation (CV)0.2066515225
Kurtosis1.021357328
Mean44.23845103
Median Absolute Deviation (MAD)5.618357488
Skewness0.03490166868
Sum47998.71937
Variance83.57512656
MonotocityNot monotonic
2021-09-17T16:07:14.864604image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
54.550.5%
 
38.540.4%
 
3740.4%
 
43.1428571440.4%
 
4630.3%
 
4930.3%
 
5030.3%
 
3930.3%
 
46.1111111130.3%
 
46.520.2%
 
5220.2%
 
45.8571428620.2%
 
2520.2%
 
5720.2%
 
4020.2%
 
34.520.2%
 
6120.2%
 
43.520.2%
 
51.7520.2%
 
48.520.2%
 
49.3333333320.2%
 
4820.2%
 
49.1666666720.2%
 
46.420.2%
 
37.220.2%
 
Other values (992)102194.1%
 
ValueCountFrequency (%) 
310.1%
 
810.1%
 
910.1%
 
17.6666666710.1%
 
17.710.1%
 
20.3333333310.1%
 
20.3888888910.1%
 
21.210.1%
 
21.8461538510.1%
 
22.9742647110.1%
 
ValueCountFrequency (%) 
82.7510.1%
 
79.062510.1%
 
7410.1%
 
7110.1%
 
70.510.1%
 
69.410.1%
 
6910.1%
 
68.3076923110.1%
 
6810.1%
 
67.2222222210.1%
 

nb_prescripteurs
Real number (ℝ≥0)

Distinct72
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.14285714
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:15.040599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median14
Q322
95-th percentile44.6
Maximum129
Range128
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.14170695
Coefficient of variation (CV)0.8249329057
Kurtosis7.471178648
Mean17.14285714
Median Absolute Deviation (MAD)7
Skewness2.118514687
Sum18600
Variance199.9878756
MonotocityNot monotonic
2021-09-17T16:07:15.210600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6555.1%
 
12514.7%
 
9504.6%
 
15464.2%
 
11434.0%
 
5434.0%
 
4423.9%
 
7413.8%
 
10393.6%
 
16373.4%
 
18363.3%
 
8363.3%
 
3363.3%
 
13353.2%
 
21333.0%
 
14333.0%
 
17322.9%
 
19322.9%
 
2312.9%
 
1282.6%
 
26272.5%
 
20262.4%
 
25191.8%
 
24181.7%
 
23151.4%
 
Other values (47)20118.5%
 
ValueCountFrequency (%) 
1282.6%
 
2312.9%
 
3363.3%
 
4423.9%
 
5434.0%
 
6555.1%
 
7413.8%
 
8363.3%
 
9504.6%
 
10393.6%
 
ValueCountFrequency (%) 
12910.1%
 
10010.1%
 
8710.1%
 
8510.1%
 
8110.1%
 
7610.1%
 
7520.2%
 
7420.2%
 
7310.1%
 
6910.1%
 

nb_PEC_par_prescripteurs
Real number (ℝ≥0)

Distinct394
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.33362212
Minimum1
Maximum28.8
Zeros0
Zeros (%)0.0%
Memory size8.6 KiB
2021-09-17T16:07:15.388600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q11.93
median2.76
Q33.94
95-th percentile7.278
Maximum28.8
Range27.8
Interquartile range (IQR)2.01

Descriptive statistics

Standard deviation2.347143366
Coefficient of variation (CV)0.7040820109
Kurtosis23.52134461
Mean3.33362212
Median Absolute Deviation (MAD)1
Skewness3.646005358
Sum3616.98
Variance5.509081979
MonotocityNot monotonic
2021-09-17T16:07:15.546601image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1373.4%
 
2373.4%
 
1.5302.8%
 
3252.3%
 
1.33161.5%
 
1.6151.4%
 
4131.2%
 
2.5121.1%
 
1.67121.1%
 
1.75121.1%
 
2.25100.9%
 
2.6790.8%
 
1.7190.8%
 
2.3390.8%
 
2.7590.8%
 
3.5270.6%
 
3.0870.6%
 
1.4470.6%
 
1.2570.6%
 
1.4370.6%
 
2.4470.6%
 
4.570.6%
 
2.1470.6%
 
3.1770.6%
 
1.470.6%
 
Other values (369)76070.0%
 
ValueCountFrequency (%) 
1373.4%
 
1.1110.1%
 
1.1310.1%
 
1.1420.2%
 
1.1750.5%
 
1.230.3%
 
1.2230.3%
 
1.2310.1%
 
1.2570.6%
 
1.2610.1%
 
ValueCountFrequency (%) 
28.810.1%
 
2210.1%
 
18.810.1%
 
18.6710.1%
 
17.2410.1%
 
16.8810.1%
 
15.410.1%
 
15.3310.1%
 
13.3310.1%
 
12.8210.1%
 

fraud
Boolean

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0
900 
1
185 
ValueCountFrequency (%) 
090082.9%
 
118517.1%
 
2021-09-17T16:07:15.676599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Interactions

2021-09-17T16:05:02.445495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:05:02.648495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:05:02.983495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:05:03.162495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:05:03.340496image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:05:03.824495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:05:03.996499image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:05:04.171495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:05:04.520495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:05:06.649495image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:05:10.913498image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:06:49.955585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:50.122590image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:06:50.486590image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:50.651592image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:50.821596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:50.994589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:51.160592image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:06:52.853586image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:53.035587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:06:54.792584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:54.948584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:55.106591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:06:55.259584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:06:56.081589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:07:01.192590image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:01.366587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:01.533587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:07:02.023584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:02.190584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:02.360589image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
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2021-09-17T16:07:02.850591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:03.009591image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2021-09-17T16:07:15.862600image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-09-17T16:07:16.363599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-09-17T16:07:16.866604image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-09-17T16:07:17.385599image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2021-09-17T16:07:03.429975image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2021-09-17T16:07:05.151981image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Sample

First rows

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Last rows

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